Top Remote Data & Analytics Jobs in Miami, FL

Investigates data governance issues using information management tools and data sources, identifies root causes, and partners with data owners, clients, vendors, and architects on resolution. Establishes governance baselines, standards, metrics, audits, and reporting. Defines governance requirements for data elements, integrates governance tests into ETL processes, communicates governance benefits, and drives continuous improvement of data management systems, policies, and processes.

Leads enterprise data architecture across Federal Student Aid’s Common Data Model, CRM platforms, servicer integrations, analytics, and downstream systems. Defines canonical models, systems of record, data contracts, integration patterns, governance, lineage, quality, security, privacy, and lifecycle controls. Develops reference architectures, decision records, modernization roadmaps, and data-flow designs; evaluates architectural tradeoffs; supports leadership reviews; collaborates across engineering, integration, security, analytics, product, and business teams; and mentors technical staff.

Supports healthcare data analytics and research projects by evaluating diverse datasets, developing statistical models, validating and cross-referencing data, analyzing care and outcome patterns, and communicating findings to nontechnical stakeholders and clients. The role includes learning healthcare data types, SAS programming, research design methods, and quality improvement analytics while collaborating across multiple teams and managing concurrent projects.

Designs enterprise Power BI semantic models and executive dashboards, translating ambiguous business questions into KPIs and visual narratives. Integrates data from enterprise sources, improves data quality with engineering teams, and establishes governance for accurate, auditable reporting. Mentors BI professionals, defines modeling and metric standards, optimizes performance and scalability, and influences senior stakeholders through trusted insights.

Design, build, and maintain scalable Snowflake data pipelines and workflows. Ingest, transform, and deliver data from EHRs, claims, APIs, and CRM systems into analytics-ready structures. Optimize Snowflake performance and costs through warehouse sizing, query tuning, data modeling, and security design. Implement orchestration, DevOps, version control, and CI/CD practices while collaborating with client architects and analysts. The role also involves explaining technical tradeoffs, supporting repeatable deployments, adapting to unfamiliar challenges, and mentoring others.

Document and reverse-engineer the client's ServiceNow data model and ITSM/CMDB processes. Design API-based incremental extraction into a Bronze layer and specify Bronze->Silver->Gold mappings. Define DNA crosswalk keys, data-quality gates and KPI confidence scoring, and support pipeline development, observability, and automated testing for ServiceNow as a source system.

Inventory and reverse-engineer M365 and Power Platform workloads to document entities and process flows; produce Bronze->Silver->Gold source-to-target mappings with transformation rules and data-quality defects; reconcile identifiers against core systems; ensure secure extraction per sensitivity and retention policies; define data-quality gates and confidence scoring; and support pipeline development, automated testing, and validation of Gold outputs.

Reverse-engineer Yardi schema and APIs to document finance entities and processes; reconstruct procure-to-pay and record-to-report flows; model flows into Gold-layer containers; produce source-to-target mappings and data-quality rules; define crosswalk keys with Procore and Oracle P6; steward finance KPI certification; support pipeline development, automated transformation testing, and reconciliation to Yardi system-of-record balances.

Lead Wpromote’s Reporting Solutions team and strategy, overseeing client-facing BI and analytics products from requirements through production. Drive the shift from bespoke dashboards to scalable, reusable reporting experiences across client verticals. Partner with Data Engineering, Product, Analytics, Media, and clients on data models, metrics, visualization, UX, quality, and roadmap decisions. Guide innovation in self-service analytics, interactive applications, AI-enabled reporting, and conversational analytics while managing team development, prioritization, standards, and stakeholder communication.

Leads data engineering for LillyDirect’s patient analytics platform, designing privacy-first ingestion pipelines, tokenization, identity resolution, consent governance, semantic layers, and analytics-ready data products. Integrates pharmacy and prescription data across enterprise systems while ensuring HIPAA compliance, data quality, governed access, and consent revocation. Partners with product, pharmacy, privacy, legal, cybersecurity, and analytics teams to translate requirements into scalable solutions supporting BI, reporting, self-service analytics, and agentic AI.

Lead data analysis for product and customer decision-making by defining metrics, measuring adoption, engagement, retention, and customer health, and translating complex data into actionable insights. Partner with product, engineering, customer success, and sales teams; automate and improve data processes; support product strategy and customer reviews; strengthen data governance; and mentor analysts.

Lead and develop Analytics Engineers responsible for shared data foundations, platform capabilities, semantic models, developer tooling, and AI-enabled workflows. Define the team vision, operating model, roadmap, standards, and success measures. Partner cross-functionally to prioritize initiatives, improve adoption, guide architecture, and deliver scalable data assets and automation. Drive responsible AI-assisted development, data reliability, testing, documentation, observability, and cost management while contributing hands-on when needed.